干旱区研究 ›› 2025, Vol. 42 ›› Issue (3): 545-555.doi: 10.13866/j.azr.2025.03.14 cstr: 32277.14.AZR.20250314

• 生态与环境 • 上一篇    下一篇

宁夏土地利用碳排放时空演变及影响因素

王微(), 杨淑婷(), 海云瑞   

  1. 宁夏农林科学院农业经济与信息技术研究所,宁夏 银川 750002
  • 收稿日期:2024-08-14 修回日期:2024-10-16 出版日期:2025-03-15 发布日期:2025-03-17
  • 通讯作者: 杨淑婷. E-mail: nxnkyyst@163.com
  • 作者简介:王微(1988-),女,硕士,助理研究员,主要从事智慧决策、农业资源区划及农业经济研究. E-mail: 657813334@qq.com
  • 基金资助:
    宁夏自然科学基金项目(2023AAC03413)

The spatiotemporal evolution and influencing factors of carbon emissions from land use in Ningxia

WANG Wei(), YANG Shuting(), HAI Yunrui   

  1. Institute of Agricultural Economy and Information Technology, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750002, Ningxia, China
  • Received:2024-08-14 Revised:2024-10-16 Published:2025-03-15 Online:2025-03-17

摘要: 土地利用变化是影响碳排放的关键因素,研究区域碳排放时空演变对促进合理减排具有重要意义。基于宁夏1990—2020年县(区)与10 km格网两种尺度下土地利用碳排放量的测算数据,结合趋势分析、空间自相关分析、GTWR模型探讨宁夏碳排放时空变化特征及其影响因素。结果表明:(1) 两种尺度土地利用碳排放在时序上均呈上升趋势,建设用地是宁夏碳排放的主要来源。(2) 不同县(区)碳排放存在差异,兴庆区、灵武市的碳排放增长最为迅猛。(3) 碳排放量在空间上呈现西北地区>中部地区>南部地区的分布格局,格网尺度碳排放存在显著的空间自相关性,碳排放的集聚模式随时间增强。(4) 建设用地占比与人类活动是驱动宁夏碳排放时空分异的重要因素,存在显著的正向作用且影响强度逐年增强。

关键词: 碳排放, 时空格局, 土地利用, GTWR, 影响因素, 宁夏

Abstract:

Land use change is a key factor affecting carbon emissions.Studying the spatiotemporal evolution of regional carbon emissions is significance for promoting reasonable emission reduction. Based on the measured data of land use carbon emissions in Ningxia at two scales of county (district) and 10 km grid from 1990 to 2020, combined with trend analysis, spatial autocorrelation analysis, and GTWR model, this study discusses the spatiotemporal variation characteristics and influencing factors of carbon emissions in Ningxia. The results show that: (1) Both scales of land use carbon emissions show an upward trend in time series, and construction land is the main source of carbon emissions in Ningxia. (2) There are differences in carbon emissions among different counties (districts), with Xingqing District and Lingwu City showing the most rapid growth in carbon emissions. (3) Carbon emissions show a distribution pattern of northwest region>central region>southern region in space. Grid-scale carbon emissions have significant spatial autocorrelation, and the agglomeration pattern of carbon emissions increases with time. (4) The proportion of construction land and human activities are important factors driving the spatial and temporal differentiation of carbon emissions in Ningxia, which has a significant positive effect and the impact intensity increases year by year.

Key words: carbon emissions, spatiotemporal pattern, land use, GTWR, influence factor, Ningxia